.Job ID: 2729766 | Amazon.Com Services LLCAt OpsTech Solutions (OTS), we are a technology centric services organization that designs, builds, and sustains the invisible, high-quality network, compute infrastructure and device scaffolding that empowers and protects Amazon's global Operations.The OTS DataTech team drives enterprise data strategy and support across OTS. Our charter encompasses OTS-wide efforts, including Data as a Product (DaaP), enterprise data infrastructure, AI/ML capability, and supporting specific business-critical programs, fueling innovation and automation for OTS.We are looking for a passionate, talented, and innovative Applied Scientist with a background in developing and implementing state-of-the-art machine learning solutions within the realms of supervised and unsupervised learning, Generative AI (GenAI), and optimization.Key job responsibilitiesIn this role, you will play a pivotal role in shaping the vision, roadmap, design, development, and implementation of science-based solutions from beginning to end.You will contribute to building and maintaining an MLOps Platform that will support end-to-end scientific operations for a wide range of AI/ML use cases. You will be responsible for the seamless integration of scientific products with existing systems, ultimately leading to increased operational efficiency and productivity across OTS.You will also have the opportunity to leverage our foundational GenAI platform to help OTS customers build GenAI applications for their use cases.You will be closely partnering with a cross-functional team of stakeholders including Applied Scientists, Data Scientists, Machine Learning Engineers, Data Engineers, Product Managers, and Technical Program Managers.Come join OTS DataTech as we continue to innovate and pioneer the AI/ML space within OTS!A day in the lifeAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.The benefits that generally apply to regular, full-time employees include:Medical, Dental, and Vision CoverageMaternity and Parental Leave OptionsPaid Time Off (PTO)401(k) PlanIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONSMS or PhD in quantitative field (CS, CE, ML preferred) or equivalent relevant work experience.Strong background in machine learning, including supervised and unsupervised learning algorithms.Experience developing, building and implementing complex software systems, especially involving ML, that have been successfully delivered to customers